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Machine Learning Engineer jobs in United Arab Emirates

Consultant AI Software Engineer Digital FAAS Abu Dhabi

FP&A

Dubai
Hybrid
AED 80,000 - 100,000
2 days ago
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Remote Data Analyst: Transform Insights into Growth

Horizontal Digital

Dubai
Hybrid
AED 60,000 - 80,000
2 days ago
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Remote Data Analyst for Client Growth & Strategy

Xapo Bank

United Arab Emirates
Remote
AED 257,000 - 331,000
2 days ago
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Data Analyst - Client Coverage Group (Remote - Work from Anywhere)

Xapo Bank

United Arab Emirates
Remote
AED 257,000 - 331,000
2 days ago
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Trans Planning Data Analyst-UAE National, Supply Chain Transportation Planning

Q-Express Documents Transport

Dubai
On-site
AED 120,000 - 200,000
2 days ago
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Data Analyst — Dashboards & Insights for Decision Makers

Egis Group

Abu Dhabi
On-site
AED 120,000 - 200,000
2 days ago
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Data Analyst ( UAE National )

Egis Group

Abu Dhabi
On-site
AED 120,000 - 200,000
2 days ago
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Data Analyst: Real-Time Insights with Kibana Dashboards

Splash Software

Dubai
On-site
AED 220,000 - 294,000
2 days ago
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Data Analyst

Splash Software

Dubai
On-site
AED 220,000 - 294,000
2 days ago
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Remote Excel Specialist: Master Data Entry & Accuracy

PULSE

Fujairah Emirate
Remote
AED 60,000 - 120,000
2 days ago
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Senior Data Scientist: ML for Fashion Ecommerce Impact

TALENTMATE

Dubai
On-site
AED 200,000 - 300,000
2 days ago
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Senior Data Scientist — Fashion Ecommerce & ML Impact

TALENTMATE

Dubai
On-site
AED 200,000 - 300,000
2 days ago
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Data Engineer

Systems Limited

Dubai
On-site
AED 120,000 - 200,000
2 days ago
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Data Engineer: Scalable Pipelines for Power BI

Marc Ellis

United Arab Emirates
On-site
AED 220,000 - 313,000
2 days ago
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Data Engineer

Marc Ellis

United Arab Emirates
On-site
AED 220,000 - 313,000
2 days ago
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Data Scientist

Etihad Credit Bureau

Abu Dhabi
On-site
AED 200,000 - 300,000
2 days ago
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Senior Data Scientist: PoCs, Market Insights & Analytics

Etihad Credit Bureau

Abu Dhabi
On-site
AED 200,000 - 300,000
2 days ago
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Seniror Data Scientist (AIML Engineer)

Papon

Dubai
On-site
AED 200,000 - 300,000
6 days ago
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Machine Learning Engineer

Institute of Foundation Models

Abu Dhabi
On-site
AED 257,000 - 331,000
30+ days ago

Senior AI/ML Scientist & Data Engineer

Papon

Dubai
On-site
AED 200,000 - 300,000
6 days ago
Be an early applicant

Machine Learning Engineer – Generative AI (LLMs / RAG / Agentic AI)

Stellar Technologies

Abu Dhabi
On-site
AED 200,000 - 300,000
30+ days ago

Data Engineer

Chalhoub Group

Dubai
On-site
AED 120,000 - 200,000
3 days ago
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Senior AI Engineer - Lead Multi-Agent Systems & GenAI

Nexthire

Abu Dhabi
On-site
AED 200,000 - 300,000
3 days ago
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Senior Data Scientist: Fashion Ecommerce Growth

Ounass

United Arab Emirates
On-site
AED 200,000 - 300,000
4 days ago
Be an early applicant

Senior Data Scientist - Fashion Ecommerce Growth

Ounass

United Arab Emirates
On-site
AED 200,000 - 300,000
4 days ago
Be an early applicant

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Consultant AI Software Engineer Abu Dhabi
FP&A
Dubai
Hybrid
AED 80,000 - 100,000
Full time
2 days ago
Be an early applicant

Job summary

A leading financial consultancy in Dubai is seeking a Consultant - AI Software Engineer to join their Data & AI team. The candidate will manage client projects by leveraging AI solutions and ensure compliance with industry standards. Ideal applicants will have a Bachelor's degree and 3 to 4 years of consulting experience. Strong proficiency in AI & ML development, particularly with Python and cloud platforms, is essential. Flexibility to travel is required, and a competitive compensation package awaits successful candidates.

Benefits

Continuous learning
Flexible impact opportunities
Leadership coaching
Diverse culture

Qualifications

  • 3 to 4 years of related work experience.
  • At least 2 years in a global consulting firm.
  • Hands-on experience building and fine-tuning LLMs.

Responsibilities

  • Manage up to two projects alongside senior leaders.
  • Define an AI-driven FAAS strategy.
  • Evaluate AI trends and evaluate innovative tools.

Skills

AI and ML development
Proficiency in Python
Experience with TensorFlow
Experience with PyTorch
Knowledge of cloud platforms
Skills in LLMs
Experience in MLOps

Education

Bachelor's degree

Tools

Azure
AWS
GCP
Job description
Consultant - AI Software Engineer - FAAS

In Financial Accounting & Advisory Services (FAAS) within Assurance we assist our clients to address the accounting and financial reporting challenges facing their business. You will be part of a team that provides insight and services that accelerate analytics decision-making and innovation to build a stronger and more efficient finance function. You will experience ongoing professional development through diverse experiences world‑class learning and individually tailored coaching.

That is how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders and in so doing play a critical role in building a better working world for our people for our clients and for our communities.
Sound interesting Well this is just the beginning. Because whenever you join however long you stay the exceptional EY experience lasts a lifetime.

The opportunity

This opportunity is within our Data & AI team and provides advisory services focused on AI Engineering and Generative AI (GenAI).

As an AI Engineering professional you will help businesses unlock value by designing building and operationalizing scalable AI solutions using modern MLOps pipelines and cloud‑native technologies. You will work on integrating large language models (LLMs) automating workflows with GenAI and embedding AI capabilities into business processes. The consultant will collaborate with data scientists engineers and business leaders to ensure the AI‑driven solutions are aligned with strategic goals and deliver tangible business impact.

This role will be based in Dubai and center of excellence in Jordan and Egypt and will remotely support MENA client engagements. Based on business need travel will be a requirement.

In this fast‑moving space you will be a key driver in identifying opportunities shaping offerings and supporting business development efforts.

Your key responsibilities

In this exciting new role you will manage up to two projects alongside senior business leaders such as Directors and Partners and enable clients to define an AI‑driven FAAS strategy that appropriately addresses risk and maximizes value from emerging technologies. You will help clients realize business value through AI use‑cases including LLMsGenAI applications and MLOps implementation.

The role will also involve ensuring timely delivery in compliance with regulatory requirements effective execution of the FAAS service delivery framework working with other service lines for integrated service delivery and monitoring engagement team performance against the budget. You will stay on top of emerging AI trends evaluate innovative AI/GenAI tools and support go‑to‑market efforts.

Skills and attributes for success

Proactivity accountability and results‑driven mindset will be crucial in this environment. Youll need to manage competing priorities communicate effectively with both technical and non‑technical stakeholders and drive high‑quality innovative deliverables.

To qualify for the role you must have
  • A bachelors degree and approximately 3 to 4 years of related work experience
  • Demonstrated work experience of at least 2 years in a global consulting firm
  • Practical experience in AI and ML development with Python TensorFlow PyTorch and cloud platforms (Azure AWS GCP)
  • Hands‑on experience building and fine‑tuning LLMs working with frameworks like LangChain HuggingFace or OpenAI APIs
  • Experience designing MLOps pipelines AI solution architecture and deploying AI models in production
  • Exposure to GenAI use cases such as document summarization chatbots intelligent assistants and code generation
  • Domain knowledge in one or more of the following: Government Healthcare Financial Services Retail Telecom
  • Strong ability to translate complex business problems into AI solutions with measurable impact
  • Knowledge of data privacy ethical AI and responsible AI principles
  • Flexibility and willingness to travel on short notice as necessary
Ideally youll also have
  • Track record with a leading consulting firm
  • Experience with GenAI tooling ecosystems such as Azure OpenAI Google Vertex AI or AWS Bedrock
  • Proficiency in the Arabic language
What we look for

We are seeking ambitious leaders who are passionate about applying AI and GenAI to solve complex client problems. You should have an entrepreneurial mindset be accountable for results and eager to mentor the next generation of talent within EY.

What we offer

We offer a competitive compensation package where youll be rewarded based on performance and recognized for the value you bring to our business. Plus we offer:

  • Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
  • Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above please contact us as soon as possible.

The exceptional EY experience. Its yours to build.

EY Building a better working world

EY exists to build a better working world helping to create long‑term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.

Required Experience:

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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